Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "325" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 65 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 63 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459881 | dish_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.266375 | -0.405841 | 33.248518 | 17.368049 | 5.681005 | 4.232157 | -0.300165 | 6.104636 | 0.6501 | 0.6458 | 0.3383 | nan | nan |
| 2459880 | dish_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.311536 | -0.632663 | 26.939180 | 13.942649 | 1.326013 | 0.907578 | -1.357674 | -0.164448 | 0.6032 | 0.5836 | 0.4050 | nan | nan |
| 2459879 | dish_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459878 | dish_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 1.345400 | 0.088965 | 33.008329 | 17.251581 | 3.010873 | 2.018007 | -2.360822 | 0.429295 | 0.0787 | 0.0817 | 0.0323 | nan | nan |
| 2459876 | dish_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 1.093257 | -0.041772 | 23.385069 | 11.293535 | 8.347944 | 6.190773 | -2.037808 | 0.536882 | 0.0825 | 0.0859 | 0.0333 | nan | nan |
| 2459875 | dish_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 1.939616 | -0.832060 | 31.706445 | 16.226078 | 3.205473 | 2.279590 | -1.027285 | 0.818713 | 0.0812 | 0.0841 | 0.0326 | nan | nan |
| 2459874 | dish_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459873 | dish_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.085971 | -0.809916 | 21.973776 | 10.976119 | 1.339587 | 0.901304 | -1.403330 | -0.099730 | 0.6299 | 0.5785 | 0.3966 | nan | nan |
| 2459872 | dish_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 0.903932 | -0.608459 | 29.387491 | 15.064014 | 4.651499 | 4.272403 | -1.290326 | 0.501111 | 0.0773 | 0.0751 | 0.0287 | nan | nan |
| 2459871 | dish_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 1.141766 | -0.711276 | 29.669335 | 15.230091 | 4.726639 | 2.726280 | -1.026556 | -0.058219 | 0.0938 | 0.0947 | 0.0350 | nan | nan |
| 2459870 | dish_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.262610 | -0.355666 | 21.705959 | 10.855503 | 2.960910 | 2.420061 | -1.608253 | 0.886760 | 0.6320 | 0.5877 | 0.4011 | nan | nan |
| 2459869 | dish_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 2.022240 | 0.043539 | 21.091256 | 10.734301 | 4.782004 | 2.979263 | -0.079794 | 0.834693 | 0.6411 | 0.6034 | 0.4021 | nan | nan |
| 2459868 | dish_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.894437 | -0.030776 | 33.580393 | 17.510979 | 2.711678 | 1.611812 | -2.326842 | 0.434429 | 0.6212 | 0.5781 | 0.4130 | nan | nan |
| 2459867 | dish_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.386268 | -0.469093 | 26.851631 | 13.663850 | 1.404071 | 1.013863 | -1.604762 | -0.095977 | 0.6364 | 0.5863 | 0.4129 | nan | nan |
| 2459866 | dish_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.050616 | -0.343415 | 24.879488 | 12.439317 | 1.270117 | 0.370468 | -1.257183 | -0.783970 | 0.6389 | 0.5897 | 0.4050 | nan | nan |
| 2459865 | dish_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 1.595713 | 0.085209 | 32.603372 | 16.713085 | 3.220332 | 2.398601 | 3.795246 | 2.037144 | 0.0914 | 0.0885 | 0.0368 | nan | nan |
| 2459864 | dish_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.376653 | -0.846242 | 16.229877 | 8.684382 | 1.763092 | 1.381873 | -1.990213 | 2.032937 | 0.6418 | 0.5842 | 0.4378 | nan | nan |
| 2459863 | dish_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.040556 | -1.435231 | 1.526906 | -1.008431 | -0.712774 | 0.187785 | -2.096749 | -0.071111 | 0.6345 | 0.5711 | 0.4295 | nan | nan |
| 2459862 | dish_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.107721 | -0.897353 | 19.792097 | 10.578914 | 1.532230 | 0.675078 | -1.110543 | -0.450907 | 0.6103 | 0.5963 | 0.4438 | nan | nan |
| 2459861 | dish_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.342297 | -1.291535 | 0.347667 | -2.292086 | -1.278477 | -0.593070 | -1.762628 | -0.154386 | 0.6505 | 0.5883 | 0.4437 | nan | nan |
| 2459860 | dish_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.899119 | -0.589074 | 15.165074 | 8.129675 | 4.929493 | 3.389965 | -1.344758 | -0.292069 | 0.6577 | 0.5908 | 0.4405 | nan | nan |
| 2459859 | dish_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.068432 | -1.440854 | 0.472717 | -2.243570 | -0.991587 | -0.733818 | -1.416481 | -0.580228 | 0.6634 | 0.5973 | 0.4369 | nan | nan |
| 2459858 | dish_ok | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.339604 | -1.418263 | 0.006851 | -2.750833 | -1.393749 | -0.367615 | -2.167898 | -0.399680 | 0.6739 | 0.6024 | 0.4515 | 0.000000 | 0.000000 |
| 2459857 | dish_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 2.452216 | 0.291184 | 2.635597 | 1.344107 | -0.665329 | -0.354351 | -1.629848 | -2.208471 | 0.0319 | 0.0301 | 0.0013 | nan | nan |
| 2459856 | dish_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.482458 | -0.199262 | 14.059312 | 7.708743 | 1.171394 | 1.133950 | -1.853098 | -0.806361 | 0.6596 | 0.6155 | 0.4323 | 0.000000 | 0.000000 |
| 2459855 | dish_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.685121 | -0.643258 | 15.705481 | 8.642606 | -0.422494 | -0.061807 | -1.506092 | -0.596047 | 0.6303 | 0.6308 | 0.4668 | 0.000000 | 0.000000 |
| 2459854 | dish_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.417539 | -0.960023 | 13.226727 | 7.571756 | 0.663740 | 0.376647 | -0.260996 | 1.553769 | 0.6472 | 0.6695 | 0.4641 | 0.000000 | 0.000000 |
| 2459853 | dish_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.991528 | -0.482315 | 17.218636 | 9.909758 | 2.085918 | 0.867170 | -1.882944 | -0.135623 | 0.6930 | 0.6079 | 0.4622 | 0.000000 | 0.000000 |
| 2459852 | dish_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.064749 | 0.560713 | 17.308264 | 10.007200 | 7.156184 | 3.554511 | 10.182152 | 6.431504 | 0.7455 | 0.7250 | 0.3146 | 0.000000 | 0.000000 |
| 2459850 | dish_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.308903 | 0.638356 | 16.318770 | 9.354334 | 2.151012 | 5.121323 | -0.341147 | 6.366301 | 0.6913 | 0.6809 | 0.3814 | 0.000000 | 0.000000 |
| 2459849 | dish_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.012343 | 0.132563 | 32.531367 | 19.454546 | 0.890642 | 0.765050 | -2.131412 | 0.231052 | 0.6842 | 0.6742 | 0.3898 | 0.000000 | 0.000000 |
| 2459848 | dish_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.132443 | -0.028258 | 23.494998 | 13.965438 | 3.364926 | 2.055531 | -1.691716 | -0.118544 | 0.6538 | 0.6694 | 0.4072 | 0.000000 | 0.000000 |
| 2459847 | dish_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.189154 | -0.093436 | 22.233851 | 13.148985 | 5.932151 | 3.758880 | -1.570392 | -0.389220 | 0.6733 | 0.5971 | 0.4637 | 0.000000 | 0.000000 |
| 2459846 | dish_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 8.626219 | 4.821771 | 17.307859 | 10.888887 | 9.955322 | 4.044654 | -0.364619 | -0.592090 | 0.7369 | 0.4784 | 0.5239 | 0.000000 | 0.000000 |
| 2459845 | dish_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459844 | dish_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459843 | dish_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459842 | dish_ok | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.731863 | -0.156632 | 0.097038 | -1.514234 | -1.058825 | -2.268239 | -2.191283 | -1.642040 | 0.7153 | 0.5864 | 0.2860 | 0.000000 | 0.000000 |
| 2459841 | dish_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459840 | dish_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 5.808437 | 0.218235 | 22.791702 | 21.237343 | 0.606869 | -0.020819 | 1.789402 | -1.207606 | 0.0345 | 0.0373 | 0.0065 | nan | nan |
| 2459839 | dish_ok | 100.00% | - | - | - | - | - | 0.477715 | -0.765683 | 66.712692 | 62.519268 | -0.762145 | -0.902634 | 1.529907 | -1.764911 | nan | nan | nan | nan | nan |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 33.248518 | -0.405841 | 1.266375 | 17.368049 | 33.248518 | 4.232157 | 5.681005 | 6.104636 | -0.300165 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 26.939180 | -0.632663 | 1.311536 | 13.942649 | 26.939180 | 0.907578 | 1.326013 | -0.164448 | -1.357674 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 33.008329 | 0.088965 | 1.345400 | 17.251581 | 33.008329 | 2.018007 | 3.010873 | 0.429295 | -2.360822 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 23.385069 | 1.093257 | -0.041772 | 23.385069 | 11.293535 | 8.347944 | 6.190773 | -2.037808 | 0.536882 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 31.706445 | 1.939616 | -0.832060 | 31.706445 | 16.226078 | 3.205473 | 2.279590 | -1.027285 | 0.818713 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 21.973776 | 1.085971 | -0.809916 | 21.973776 | 10.976119 | 1.339587 | 0.901304 | -1.403330 | -0.099730 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 29.387491 | -0.608459 | 0.903932 | 15.064014 | 29.387491 | 4.272403 | 4.651499 | 0.501111 | -1.290326 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 29.669335 | -0.711276 | 1.141766 | 15.230091 | 29.669335 | 2.726280 | 4.726639 | -0.058219 | -1.026556 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 21.705959 | 1.262610 | -0.355666 | 21.705959 | 10.855503 | 2.960910 | 2.420061 | -1.608253 | 0.886760 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 21.091256 | 2.022240 | 0.043539 | 21.091256 | 10.734301 | 4.782004 | 2.979263 | -0.079794 | 0.834693 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 33.580393 | 1.894437 | -0.030776 | 33.580393 | 17.510979 | 2.711678 | 1.611812 | -2.326842 | 0.434429 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 26.851631 | 1.386268 | -0.469093 | 26.851631 | 13.663850 | 1.404071 | 1.013863 | -1.604762 | -0.095977 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 24.879488 | -0.343415 | 1.050616 | 12.439317 | 24.879488 | 0.370468 | 1.270117 | -0.783970 | -1.257183 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 32.603372 | 1.595713 | 0.085209 | 32.603372 | 16.713085 | 3.220332 | 2.398601 | 3.795246 | 2.037144 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 16.229877 | -0.846242 | 1.376653 | 8.684382 | 16.229877 | 1.381873 | 1.763092 | 2.032937 | -1.990213 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 1.526906 | -0.040556 | -1.435231 | 1.526906 | -1.008431 | -0.712774 | 0.187785 | -2.096749 | -0.071111 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 19.792097 | 1.107721 | -0.897353 | 19.792097 | 10.578914 | 1.532230 | 0.675078 | -1.110543 | -0.450907 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 0.347667 | -1.291535 | -0.342297 | -2.292086 | 0.347667 | -0.593070 | -1.278477 | -0.154386 | -1.762628 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 15.165074 | 0.899119 | -0.589074 | 15.165074 | 8.129675 | 4.929493 | 3.389965 | -1.344758 | -0.292069 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 0.472717 | -0.068432 | -1.440854 | 0.472717 | -2.243570 | -0.991587 | -0.733818 | -1.416481 | -0.580228 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 0.006851 | -1.418263 | -0.339604 | -2.750833 | 0.006851 | -0.367615 | -1.393749 | -0.399680 | -2.167898 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 2.635597 | 0.291184 | 2.452216 | 1.344107 | 2.635597 | -0.354351 | -0.665329 | -2.208471 | -1.629848 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 14.059312 | 1.482458 | -0.199262 | 14.059312 | 7.708743 | 1.171394 | 1.133950 | -1.853098 | -0.806361 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 15.705481 | -0.643258 | 1.685121 | 8.642606 | 15.705481 | -0.061807 | -0.422494 | -0.596047 | -1.506092 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 13.226727 | -0.960023 | 1.417539 | 7.571756 | 13.226727 | 0.376647 | 0.663740 | 1.553769 | -0.260996 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 17.218636 | -0.482315 | 0.991528 | 9.909758 | 17.218636 | 0.867170 | 2.085918 | -0.135623 | -1.882944 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 17.308264 | -0.064749 | 0.560713 | 17.308264 | 10.007200 | 7.156184 | 3.554511 | 10.182152 | 6.431504 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 16.318770 | 1.308903 | 0.638356 | 16.318770 | 9.354334 | 2.151012 | 5.121323 | -0.341147 | 6.366301 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 32.531367 | 2.012343 | 0.132563 | 32.531367 | 19.454546 | 0.890642 | 0.765050 | -2.131412 | 0.231052 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 23.494998 | -0.028258 | 2.132443 | 13.965438 | 23.494998 | 2.055531 | 3.364926 | -0.118544 | -1.691716 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 22.233851 | -0.093436 | 1.189154 | 13.148985 | 22.233851 | 3.758880 | 5.932151 | -0.389220 | -1.570392 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 17.307859 | 8.626219 | 4.821771 | 17.307859 | 10.888887 | 9.955322 | 4.044654 | -0.364619 | -0.592090 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Shape | 1.731863 | 1.731863 | -0.156632 | 0.097038 | -1.514234 | -1.058825 | -2.268239 | -2.191283 | -1.642040 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 22.791702 | 5.808437 | 0.218235 | 22.791702 | 21.237343 | 0.606869 | -0.020819 | 1.789402 | -1.207606 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 325 | N09 | dish_ok | ee Power | 66.712692 | -0.765683 | 0.477715 | 62.519268 | 66.712692 | -0.902634 | -0.762145 | -1.764911 | 1.529907 |